Assessing Evaluation Metrics for Speech-to-Speech Translation

Author:

Salesky Elizabeth1,Mader Julian2,Klinger Severin2

Affiliation:

1. Johns Hopkins University,USA

2. ETH Zürich,Switzerland

Funder

ETH Zürich Foundation

Publisher

IEEE

Reference38 articles.

1. Phonetisaurus: Exploring grapheme-to-phoneme conversion with joint n-gram models in the WFST framework

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3. Speech Recognition with Augmented Synthesized Speech

4. An Introduction to the Bootstrap

5. Six Challenges for Neural Machine Translation

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1. Applying automated machine translation to educational video courses;Education and Information Technologies;2023-10-02

2. Towards Building Text-to-Speech Systems for the Next Billion Users;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. Investigation Of Data Augmentation Techniques For Bi-LSTM Based Direct Speech To Speech Translation;2023 National Conference on Communications (NCC);2023-02-23

4. Analysis of Layer-Wise Training in Direct Speech to Speech Translation Using BI-LSTM;2022 25th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA);2022-11

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